Title :
Genetic algorithm based rainbow network flow optimization for multiple description coding in lossy network
Author :
Kusetogullari, Huseyin ; Yavariabdi, Amir ; Leeson, Mark S. ; Hines, Evor L.
Author_Institution :
Sch. of Eng., Univ. of Warwick, Coventry, UK
Abstract :
In this paper, multi-path optimization using genetic algorithm (GA) and rainbow network flow (RNF) for maximizing the received multiple description coding (MDCs) in a lossy network model is proposed. The network flow of multiple description codes (MDCs) is considered and the idea of routing as finding paths for a rainbow of colours (rainbow network flow or RNF) incorporated. The GA is used to find the optimum disjoint paths between source node and the destination node to optimize the amount of outgoing MDC packets. The MDCs are generated by applying the Discrete Wavelet Transform (DWT) and provide maximal performance of the bandwidth capacity of every single route for image transmission across the network. The GA based method finds the optimum solution and the effects of variations in GA parameters are investigated.
Keywords :
discrete wavelet transforms; genetic algorithms; image coding; telecommunication network routing; visual communication; DWT; MDC; RNF; bandwidth capacity; discrete wavelet transform; genetic algorithm; image transmission; lossy network model; multipath optimization; multiple description coding; network routing; rainbow network flow optimization; Fires; Image color analysis; Image reconstruction;
Conference_Titel :
Internet Technology and Secured Transactions (ICITST), 2010 International Conference for
Conference_Location :
London
Print_ISBN :
978-1-4244-8862-9
Electronic_ISBN :
978-0-9564263-6-9
